Oral Presentation

Simulating AGN feedback in galaxy clusters with pre-existing turbulence

Author(s): Jia-Lun Li

Presenter: Jia-Lun Li (NTHU)

Feedback from active galactic nuclei (AGN) is believed to play a significant role in suppressing cooling flows in cool-core (CC) clusters; however, what is the dominant heating mechanism of AGN jets remains highly debated. One potential heating mechanism is heating caused by turbulence induced by AGN jet-inflated bubbles, which was proposed based on analysis of observed Chandra X-ray surface brightness fluctuations in the Perseus cluster. However, subsequent simulation results have found the subdominant role of turbulence in heating the intracluster medium (ICM). Therefore, the goal of our study is to elucidate this discrepancy using 3D hydrodynamic simulations including both AGN feedback and pre-existing turbulence. Our results indicate that turbulence has a limited impact on entropy. From examining the second-order velocity structure (VSF_2) and the energy power spectrum, we found that the turbulence dissipation rates per unit mass obtained from this two methods are consistent. Therefore, we will calculate the turbulent heating rate and assess its ability to offset radiative cooling. Leveraging new XRISM data, our research provides key insights into the long-standing problem of AGN heating in clusters.